AI Labs Teaching Expert (Tech Track)

Description

Nebius Academy (powered by TripleTen ) runs AI Labs: three-hour live online sessions where engineers bring a real repository, pipeline or test suite and leave with a working AI deliverable configured against their own code and standards.

We are looking for an AI Labs Teaching Expert to facilitate the Tech Track across our QA and AI-assisted programming courses. You will guide participants through real technical projects, help them make sound architecture and scoping decisions, and support them in producing a working result during the session.

What you will do

• Review participant project cards before each session and prepare the relevant materials.

• Assess the scope of each project and help participants define what can realistically be completed during the Lab.

• Work alongside participants as they design, configure and test their AI-assisted development workflows.

• Read unfamiliar repositories quickly enough to identify issues and provide actionable guidance.

• Help participants debug agent state, routing and behaviour under time pressure.

• Guide participants in configuring AI code review, repository-level instructions and agent governance.

• Help participants define appropriate automation boundaries, retry limits and human-in-the-loop controls.

• Run an engaging online session, move effectively between participant projects and keep the whole group progressing.

Requirements

Must Have

• Production experience integrating AI tooling into a real team’s repository, engineering workflow or CI pipeline.

• Experience running an LLM API in a production CI environment, including cost, latency, retry and failure-mode considerations.

• Hands-on experience with AI code review, repository-level configuration, agent instructions or AI governance files used by a team.

• Strong software engineering background and the ability to understand backend, frontend, ETL, testing and model-related components.

• Experience defining automation boundaries, human-in-the-loop gates and safe retry behaviour.

• Ability to diagnose whether an agent failure comes from the prompt, routing or state design.

• Experience stress-testing AI systems using intentionally incorrect inputs, pull requests or edge cases.

• Daily practical use of a coding agent such as Claude Code, Cursor or Codex.

• Hands-on experience with CI platforms; strong familiarity with GitHub Actions or a comparable platform.

• Practical experience with Playwright.

• Production experience with LangGraph and LangSmith.

• Experience building or operating multi-agent systems with tracing and evaluation.

• Strong live facilitation, coaching or technical knowledge-sharing skills.

• Ability to facilitate the current Labs in Russian.

• Availability to support the mid-October launch and the planned October–November delivery schedule.

Nice to Have

• Experience leading an organisation-wide rollout of AI coding tools.

• Experience as a Staff or Senior Software Engineer, AI Platform Engineer, QA Automation Architect, SDET Lead, Applied AI Engineer or Forward-Deployed Engineer.

• Experience with automated or self-healing test suites.

• Experience teaching or facilitating engineers in a live online environment.

• Experience working with unfamiliar repositories and technology stacks.

• Experience with QA-oriented AI use cases.

What we can offer you

• A project-based, part-time collaboration with Nebius Academy.

• The opportunity to work with experienced professionals on real AI-assisted engineering projects.

• A practical delivery format focused on working results rather than theoretical demonstrations.

• A fully remote collaboration with sessions aligned with CET.

• A clear delivery scope for each Lab, including preparation and coordination with the Nebius Academy team.

• An opportunity to influence how engineering teams use AI tools safely and effectively in their daily work.

Originally posted on Himalayas